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Internship Risk Quant Jobs in Austin, TX (NOW HIRING)

2027 MBA Summer Intern - Account Manager, US

Austin, TX · On-site

$14.75 - $19.75/hr

Interns will be aligned to one of these teams and gain hands-on experience supporting client ... Strong analytical abilities; capacity to blend the quantitative with the qualitative * Ability to ...

Internship Risk Quant information

What is an internship risk quant?

Internship Risk Quants are students or recent graduates who take on temporary roles within financial institutions to assist with quantitative analysis related to risk management. Their main responsibilities include analyzing financial data, developing risk models, and helping identify potential risks for the company. These internships provide hands-on experience with statistical tools, programming, and risk assessment in real-world finance environments. The goal is to prepare interns for full-time quantitative risk analyst roles after graduation.

What types of projects does an internship risk quant typically work on, and how do these projects contribute to the overall risk management strategy of the firm?

Risk Quant interns often work on projects involving data analysis, model validation, and the development of risk assessment tools under the guidance of senior quants. These projects may include tasks such as back-testing risk models, analyzing large datasets to identify potential risk exposures, and automating reporting processes. By contributing to these initiatives, interns help improve the firm's ability to measure and manage financial risks, gaining practical experience with real-world quantitative finance tools and methodologies. Collaboration with teams like trading, risk management, and IT is common, offering interns broad exposure to how quantitative analysis supports strategic decision-making in the organization.

What are the key skills and qualifications needed to thrive as an internship risk quant, and why are they important?

To thrive as an Internship Risk Quant, you typically need strong quantitative skills, a solid background in mathematics, statistics, or finance, and progress towards a relevant degree such as in quantitative finance or a related field. Familiarity with programming languages like Python, R, or MATLAB, as well as experience with risk management systems and financial modeling tools, is highly valued. Attention to detail, analytical thinking, and effective communication skills help interns collaborate and present complex findings clearly. These capabilities are critical for analyzing risk data accurately and supporting decision-making in dynamic finance environments.

What is the difference between Internship Risk Quant vs Risk Analyst?

AspectInternship Risk QuantRisk Analyst
Required CredentialsTypically pursuing or recent graduate, some quantitative courseworkBachelor's or master's in finance, economics, or related field; certifications like FRM or CFA often preferred
Work EnvironmentInternship setting, often in financial institutions or asset management firmsFull-time role in banks, hedge funds, or investment firms
Industry UsageCommonly used for entry-level or internship positions in risk managementEstablished role for ongoing risk assessment and management

The main difference is that an Internship Risk Quant is an entry-level, temporary position aimed at gaining experience, while a Risk Analyst is a full-time professional role responsible for ongoing risk evaluation within financial organizations.

What are the most commonly searched types of Risk Quant jobs in Austin, TX?

The most popular types of Risk Quant jobs in Austin, TX are:

What are popular job titles related to Internship Risk Quant jobs in Austin, TX?

For Internship Risk Quant jobs in Austin, TX, the most frequently searched job titles are:

What cities near Austin, TX are hiring for Internship Risk Quant jobs?

Cities near Austin, TX with the most Internship Risk Quant job openings:

Infographic showing various Internship Risk Quant job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.

Graduate Quantitative Researcher, PhD (2027 Start)

Austin, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago


Job description

As a Graduate Quantitative Researcher, you'll tackle some of the most challenging quantitative problems in global financial markets. Working alongside researchers, engineers, and traders, you'll analyze large-scale datasets, develop predictive models and algorithms, and apply statistical and machine learning techniques to better understand market behavior and identify trading opportunities. 

Research at Optiver is highly applied and end-to-end. You'll frame research questions, test hypotheses, develop and validate models, and see your ideas evaluated in live market environments. Combining rigorous scientific thinking with modern AI-enabled research infrastructure, you'll transform insights into solutions that directly influence how we trade. 

This opportunity is also available in our Chicago office.

What You'll Do: 

Your onboarding 

You'll participate in Global Optiver Academy, a structure onboarding program for graduates. It gives new joiners a shared foundation in how Optiver trades, builds systems, and manages risk before they move into their teams. As part of your onboarding, you'll gain exposure to the AI tools and technologies that support research and development across the business. 

Your responsibilities 

As a Quantitative Researcher, you will have the opportunity to contribute to several key areas: 

  • Develop predictive models and machine learning systems to better understand market behavior and identify trading opportunities 
  • Analyze large-scale market and order-flow data to uncover signals, evaluate hypotheses, and improve trading performance 
  • Build and test statistical and stochastic models for pricing, forecasting, and risk management 
  • Apply modern research techniques, including deep learning and AI-enabled workflows, to accelerate discovery and improve research efficiency 

What You'll Get:  

You'll join a culture of collaboration, continuous improvement, and excellence, surrounded by curious thinkers and creative problem-solvers. Together, you'll tackle some of the toughest challenges in the financial markets by leveraging cutting-edge machine learning research to develop innovative, real-world solutions. 

In addition, you'll receive: 

  • The opportunity to work alongside best-in-class professionals from over 40 different countries 
  • Highly competitive compensation package 
  • Global profit-sharing pool and performance-based bonus structure 
  • 401(k) match up to 50% 
  • Comprehensive health, mental, dental, vision, disability, and life coverage 
  • 25 paid vacation days alongside market holidays 
  • Extensive office perks, including breakfast, lunch, snacks, regular social events, clubs, sporting leagues, and more 

What To Expect

As part of our assessment process, you may be invited to participate in a multi-day, on-site evaluative program. Through hands-on workshops, technical discussions, and direct exposure to our researchers and traders, you'll gain insight into how research is applied at Optiver and how PhD students transition successfully into industry. Attendance and successful completion of this program may be required to receive a full-time offer. 

Who You Are: 

  • PhD in Statistics, Computer Science, Machine Learning, Mathematics, or a related STEM field, with outstanding academic achievements 
  • Expected to graduate by mid-2027 and available to start full-time employment upon graduation 
  • Solid foundation in mathematics, probability, and statistics 
  • Excellent research, analytical, and modeling skills 
  • Experience applying machine learning methods to real-world research problems, such as time-series analysis, prediction, forecasting, pattern recognition, optimization, or decision-making 
  • Proficiency in any programming language 
  • Strong interest in working in a fast-paced, collaborative environment 
  • Fluent in English with strong written and verbal communication skills 

Who We Are:  

Optiver is a leading technology- and research-driven trading firm. Our teams of scientists, engineers, mathematicians, and traders work side by side to develop, test, and scale ideas that shape how we understand and trade global markets. Powered by a global platform built for rapid experimentation and iteration, we combine the scientific rigor of a research institution with the pace of a technology company. 

Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics. 

Optiver is supportive of US immigration sponsorship for this role. 

*Optiver has a global application re-apply policy for our intern and graduate roles. If you have completed an online assessment or interviewed for a quantitative graduate or internship role at any Optiver location in the past 8 months, please note that you are not yet eligible to reapply. We welcome you to re-apply to after the 8-month cool off period.